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REVIEW article

Front. Cell Dev. Biol., 16 June 2020
Sec. Cellular Biochemistry
This article is part of the Research Topic Molecular Mechanisms of Retinal Cell Degeneration and Regeneration View all 13 articles

The Neurovascular Unit in Glaucomatous Neurodegeneration

  • Department of Ophthalmology and Visual Sciences, Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, United States

Glaucoma is a neurodegenerative disease of the visual system and leading cause of blindness worldwide. The disease is associated with sensitivity to intraocular pressure (IOP), which over a large range of magnitudes stresses retinal ganglion cell (RGC) axons as they pass through the optic nerve head in forming the optic projection to the brain. Despite clinical efforts to lower IOP, which is the only modifiable risk factor for glaucoma, RGC degeneration and ensuing loss of vision often persist. A major contributor to failure of hypotensive regimens is the multifactorial nature of how IOP-dependent stress influences RGC physiology and structure. This stress is conveyed to the RGC axon through interactions with structural, glial, and vascular components in the nerve head and retina. These interactions promote pro-degenerative pathways involving biomechanical, metabolic, oxidative, inflammatory, immunological and vascular challenges to the microenvironment of the ganglion cell and its axon. Here, we focus on the contribution of vascular dysfunction and breakdown of neurovascular coupling in glaucoma. The vascular networks of the retina and optic nerve head have evolved complex mechanisms that help to maintain a continuous blood flow and supply of metabolites despite fluctuations in ocular perfusion pressure. In healthy tissue, autoregulation and neurovascular coupling enable blood flow to stay tightly controlled. In glaucoma patients evidence suggests these pathways are dysfunctional, thus highlighting a potential role for pathways involved in vascular dysfunction in progression and as targets for novel therapeutic intervention.

Introduction

Glaucoma is an age-related disease of the visual system and a leading cause of irreversible blindness worldwide (WHO, 2020). Clinical classification schemes of the several forms of glaucoma hinge upon a key anatomic feature of the anterior segment, the iridocorneal angle, which is defined by the angle formed where the iris and cornea meet. In open-angle glaucoma, the angle is sufficiently wide to allow normal outflow of aqueous humor from the anterior chamber to the drainage canals in the trabecular meshwork at the base of the cornea. In the most common form of the disease, primary open-angle glaucoma (POAG), the angle is open but there is progressive resistance within the outflow pathways that can lead to an increase in intraocular pressure (IOP). The disease causes degeneration of the optic nerve through sensitivity to IOP which remains the only modifiable risk factor. Over a range of magnitudes, IOP stresses retinal ganglion cell (RGC) axons as they pass unmyelinated through the optic nerve head (ONH) and form the myelinated segment of the nerve and visual projection to the brain. In the anterograde direction from the ONH, axon degeneration involves transport dysfunction and eventual disassembly with subsequent pruning of synaptic termination sites in central projection sites in the brain (Calkins, 2012). In the retrograde direction back toward the retina, RGC dendritic arbors shrink and lose complexity as excitatory synapses are eliminated, though the cell body and unmyelinated axon segment persist until later in progression (Buckingham et al., 2008; Calkins, 2012). In late stages of disease progression, RGCs degenerate completely and retinal nerve fiber layer (RNFL) thickness is significantly decreased.

That the ONH is a critical juncture for pathogenic processes that underlie neurodegeneration in glaucoma is underscored by its unique structure and physiology (Sigal and Ethier, 2009; Burgoyne, 2011; Tamm et al., 2017; Lawlor et al., 2018). Through its architecture, complex IOP-dependent forces at the ONH translate to biomechanical stress at the lamina cribrosa and ultimately, to RGC axons as they pass through (Yan et al., 1994; Burgoyne et al., 2005; Downs, 2015). The ONH is also an important site for both systemic and local vascular dysfunction that likely contributes to progression. Glaucoma involves significant comorbidity with multiple vascular conditions, including migraine, arterial hypertension and hypotension, low ophthalmic artery blood pressure, and diabetes mellitus (Dienstbier et al., 1950; Hayreh, 1969, 2001). Vascular dysfunction and insufficiency at the ONH as well as in the retina can lead to ischemia that contributes to RGC degeneration (Hayreh et al., 1970; Flammer, 1984). In normal tension glaucoma, which occurs without overt elevations in IOP, vascular dysfunction may be a primary driver of disease progression through increased oxidative stress at the level of the retina and ONH (Trivli et al., 2019). Mild and repetitive hypoxic events due to small fluctuations in IOP may lead to an unstable oxygen supply, generating chronic, low-grade ischemia-reperfusion injury that differs from sustained hypoxic insults resulting from acute elevations in IOP (Flammer, 2001; Nita and Grzybowski, 2016). In both cases, however, the main consequence is progressive oxidative stress that challenges the metabolic resources RGCs require in transmitting the retinal image to the brain.

Despite the association between systemic vascular dysfunction and glaucoma, controversy remains concerning the extent of involvement of neurovascular dysfunction in RGC degeneration during glaucoma (Hayreh, 2001). Much of the data addressing vascular changes in eyes of patients have been collected using techniques that have limitations; for example, limitations in the technology available to accurately measure blood flow in the retina and ONH (discussed below). Difficulties arise when discerning whether vascular abnormalities precede glaucomatous degeneration as most studies of the vasculature in patients are carried out in those already clinically diagnosed with glaucoma (for a recent review see Ahmad, 2016). Nevertheless, there is mounting evidence to support a role for vascular dysfunction in some cases of glaucoma. Critical questions still remain, including (1) whether vascular changes precede other insults thereby increasing RGC susceptibility, (2) if vascular dysfunction follows neuronal degeneration from a breakdown in neurovascular coupling, and (3) whether particular vascular pathways are dysfunctional and, if so, if they are targets for therapeutic intervention. In the sections that follow, we will review known facts that address these questions and others that have bearing on the vascular contribution to glaucomatous neurodegeneration.

Vascular Dysfunction in Glaucoma

The high metabolic nature of the retina necessitates a continual supply of metabolites and removal of oxidative waste (Buttery et al., 1991; Wong-Riley, 2010; Country, 2017). The retina has a conflicting requirement of blood supply and minimal interference with light. The evolution of two vascular supplies meet this conflict: the choroid supplies photoreceptors that comprise one-third of the retina, and intra-retinal vessels supply the remaining two-thirds of the retina (Kur et al., 2012). The inner layers of the retina that require a proximal blood supply include the outer plexiform layer, the inner plexiform, and the ganglion cell layer (Dowling, 1987). The vascular system supplying the ONH is more complex than in the retina (Harris et al., 2005). Blood flow to the ONH is primarily supplied by the posterior capillary artery circulation via the peripapillary choroid and short posterior ciliary arteries, except for the surface nerve fiber layer which is supplied from the central retinal artery circulation (Onda et al., 1995) (Figure 1A). Blood flow regulation at these sites involves multiple metabolic and vasoactive pathways (Figure 1B).

FIGURE 1
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Figure 1. Neurovascular coupling in the ONH and vascular dysfunction in glaucoma. (A) Schematic showing the blood supply at the ONH. Prelaminar, lamina cribrosa, and postlaminar sections are indicated. The primary blood supply to the ONH and retina comes from the choroid, the central retinal artery, the posterior ciliary artery and the circle artery. (B) Enlargement of the boxed area in (A) showing a capillary and its associated cells in the ONH. Astrocytes, pericytes, and endothelial cells of blood vessels constitute the neurovascular unit (NVU), to link local neuronal activity to vascular changes. In healthy tissue, when there is a spike in neuronal activity (1), or metabolic demand, it leads to an increased intracellular concentration of Ca2+ in neurons and (2) astrocytes. This, in turn, leads to the generation of nitric oxide (NO), a vasoactive gaseous messenger, which can diffuse to nearby blood vessels, altering blood flow. In glaucoma, apoptotic neurons and reactive astrocytes lead to the breakdown of this coupling. (3) In addition, in glaucoma, ischemia, and perfusion instability damages astrocyte–astrocyte gap junctions, leading to miscommunication between astrocytes and neurons.

In all stages of glaucoma, early through to late progression, functional and morphological changes appear in the microvasculature of both the retina and ONH, independently of IOP (Newman et al., 2018). Ocular blood flow measurements have improved over recent years but remain technically challenging. Compared with healthy controls, ocular blood flow is disturbed in glaucoma patients and is a recognized factor that contributes to progressive visual field loss (Galassi et al., 2003; Grieshaber and Flammer, 2005). Ocular blood flow is more reduced in patients who have IOP in a normotensive range, compared with patients who experience ocular hypertension (Kaiser et al., 1997). Ocular hypotensive medications have the potential to improve ocular blood flow in the eye, but studies to date have had difficulties disentangling the effects of lowered IOP and improved circulation in the eye (Januleviciene et al., 2012).

In addition to blood flow, advances in fundus imaging have enabled vessel diameters close to the optic disc to be routinely performed on patients. Retinal microvascular caliber is therefore one of the most commonly reported biomarkers, with high reproducibility using semi-automated quantification methods (Li et al., 2013; Newman et al., 2018). However, there are limitations in the quantification of more specific vessel artifacts that require assessment by trained observers, such as focal arteriolar narrowing (Wong, 2004). Vessel caliber measurements indicate that arteriole vessel narrowing is associated with optic nerve damage and severity of optic neuropathy (Jonas and Naumann, 1989; Jonas et al., 1989; Lee et al., 1998; Papastathopoulos and Jonas, 1999). A longitudinal study of glaucoma patients linked early blood vessel narrowing with disease progression; over a 10-year follow-up period, patients with narrowed retinal arteriole caliber were associated with a greater risk of developing glaucoma (Kawasaki et al., 2013). In this particular study, RNFL measurements were not carried out, so a correlation between microvascular changes and RNFL thickness could not be determined. Nonetheless, generalized narrowing of retinal vessel caliber is a phenomenon associated with glaucomatous optic neuropathy and RNFL thinning that occurs independently of elevated IOP; ocular hypertensive patients without glaucoma pathology did not exhibit vessel narrowing (Rankin and Drance, 1996; Mitchell et al., 2005; Amerasinghe et al., 2008). This finding is corroborated in the pediatric population (De Haseth et al., 2007), lending support to the notion that vascular changes in glaucoma are independent of IOP and may be associated with other pathological features.

In addition to vessel narrowing, further along in disease progression, OCT-angiography in glaucoma patients shows reduced vessel density in retinal capillary layers (Yip et al., 2019; see also Quigley et al., 1984). In the very early stages of glaucoma, macula vessel dropout is common and there is a significant association between ONH vessel density with peripapillary RNFL thickness (Suh et al., 2016; Yarmohammadi et al., 2016a, b; Hou et al., 2019). Elevated IOP combined with decreased perfusion pressure is correlated with reduced retinal vessel density, which may lead to a reduction in blood flow to retinal tissues (Baek et al., 2019). These changes observed in humans also reflect in animal models of the disease. In a rat model of elevated IOP, there is reduced capillary volume, perimeter, diameter and density in the optic nerve head (Moreno et al., 2014). In the DBA/2J mouse model of glaucoma, choroid and retinal blood flow reduce as age and IOP increase (Lavery et al., 2012).

Of particular importance to the health of RGC axons is the microvascular perfusion at the ONH. In glaucoma there is a general compromise of the vasculature in the ONH and surrounding regions (Liu and Neufeld, 2000; Jia et al., 2012; Liu et al., 2015; Scripsema et al., 2016; Akil et al., 2017; Nascimento et al., 2019). Thus glaucoma is often associated with an unmet need for metabolites and O2 due to insufficient blood flow, or ‘ischemia’ (Osborne et al., 2004; Kaur et al., 2008; Schmidt et al., 2008). In fact, the posterior lamina is implicated as the primary site of disruption in glaucoma, and emerging studies show a significant decrease in vessel density and blood flow in POAG in the deeper layers of the ONH compared with controls (Nascimento et al., 2019). Microvascular density correlates with RGC axon volume across all areas at the ONH, but the correlation is greater at the posterior lamina cribrosa, further emphasizing the importance of changes in vascular parameters at this site (Kang et al., 2018). Narrowing of retinal blood vessels is also characteristic of advanced glaucomatous optic nerve damage, indicating that vascular changes occur in the retina in addition to the site of injury at the ONH (Jonas et al., 1989; Rankin and Drance, 1996). ONH blood flow velocity is reduced to a greater extent in glaucoma patients with visual field progression compared to those with non-progression (Yamazaki and Drance, 1997). Furthermore, eyes with progressive visual field defects in NTG patients had lower blood vessel velocities (Kaiser et al., 1997; Yamazaki and Drance, 1997).

Changes in vascular morphology, i.e., narrowing of vessels and complete vessel dropout, are indicative of deleterious changes in blood vessel tone and blood flow regulation at the level of the neurovascular unit (NVU). There is a higher incidence of these changes in glaucoma patients at all stages of disease progression. Interestingly, focal arterial narrowing and other microvascular changes are also associated with other non-glaucomatous optic neuropathies (Jonas et al., 1991; Rader et al., 1994), suggesting that changes in vessels occur across a wide range of IOP values and may well arise from dysfunctional RGCs, leading to impaired blood flow and vessel narrowing. When RGCs are dysfunctional, for example, RGCs that are experiencing higher levels of ROS, or cells that are undergoing cell death, they are not as metabolically active and due to lower nutritional demand, blood flow decreases. Therefore blood flow dysregulation in glaucoma likely exacerbates the progressive loss of RGCs. The next sections of this review will highlight critical pathways in blood flow regulation in the retina and ONH.

Blood Flow Regulation in the Eye

The vessels of the retina and ONH have evolved mechanisms that enable blood flow to meet the dynamic metabolic demands of the tissue (Kur et al., 2012). Such mechanisms include tight autoregulation and neurovascular coupling. Autoregulation enables vascular beds in the retina and ONH of healthy eyes to maintain a continuous blood flow and supply of metabolites despite fluctuations in ocular perfusion pressure (OPP, Alm and Bill, 1973). To determine autoregulation capacity in patients, measurements of blood flow differences are carried out before and after the OPP is artificially increased or decreased. The normalized blood flow change represents the autoregulation capacity at any given OPP level tested. Changes in blood flow in response to OPP changes plotted on a graph constitute a classic autoregulation curve (Figure 2A). The curve includes a plateau region across a range of OPP where the blood flow is fully compensated by autoregulatory mechanisms. When the OPP fluctuations exceed the autoregulation range defined by this plateau, vasomotor adjustments are incomplete and blood flow will gradually decrease or increase passively as OPP changes. Autoregulation is achieved through changes in blood vessel tone and through neurovascular interaction. Typically, when blood vessels experience changes in blood pressure, they alter the resistance and the tone of their vessel walls as part of the ‘myogenic response’ in order to maintain a continuous flow through the tissue (Hayreh, 2001). Arterioles will contract or relax in response to an increase or decrease in intravascular pressure, respectively (Boltz et al., 2013; Prada et al., 2016).

FIGURE 2
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Figure 2. Blood flow autoregulation in the eye. (A) A schematic showing an autoregulation curve that describes the relationship between normalized blood flow (y-axis) and perfusion pressure (x-axis). Autoregulation can only operate within a critical range of OPP and once OPP surpasses the optimal range (shown in pink), autoregulatory systems start to break down. (B) The two important vasoactive substances released by endothelial cells are nitric oxide (NO) and endothelin-1 (ET-1) and autoregulation of the vascular system in the eye relies on a delicate balance between the two; NO is a potent vasodilator released by smooth muscle cells and endothelial cells which acts via pericytes to dilate capillaries. Opposite in function is ET-1, a potent vasoconstrictor.

Two key vasoactive molecules mediate blood vessel tone and blood flow: nitric oxide (NO) and endothelin-1 (ET-1; Nyborg and Nielsen, 1990). NO is a potent vasodilator released by smooth muscle cells and endothelial cells which acts via pericytes to dilate capillaries (Hayreh, 1997). ET-1 is a potent vasoconstrictor released from endothelial cells that acts on three primary receptors: ETA, ETB1, and ETB2 receptors. ETA receptors are present in vascular smooth muscle and mediate the vasoconstrictive properties of ET-1 (Orgul et al., 1999; Resch et al., 2009a; Schmidl et al., 2011). ETB1 receptors are present on endothelial cells and facilitate vasodilation (Schmidl et al., 2011). ETB2 receptors on the other hand mediate constriction of vessels (Pollock et al., 1995).

Aside from its role in regulating blood flow, ET-1 mediates a multitude of responses in the retina through targeting ET-1 receptors on several cell types. In rodents, intravitreal and peribulbar administration of ET-1 activates receptors on RGCs altering the rate of RGC axonal transport and promotes apoptotic cell death of RGCs (Stokely et al., 2002; Yorio et al., 2002; Chauhan et al., 2004; Lau et al., 2006; Taniguchi et al., 2006; Krishnamoorthy et al., 2008). ET-1 receptor activation on astrocytes promotes their proliferation (Lau et al., 2006). Moreover, ET-1 reduces expression of RGC mitochondrial oxidase enzymes, implicating a role for ET-1 in RGC bioenergetics (Chaphalkar et al., 2020). The effect of ET-1 on RGCs and other cell types directly is beyond the scope of this review, but reviewed well in Shoshani et al. (2012).

In vascular autoregulation, a delicate balance between concentrations of NO and ET-1 mediates appropriate vessel response to maintain blood flow (Figure 2B; Orgul et al., 1999; Venkataraman et al., 2010). In glaucoma, mounting evidence suggests dysfunction in the pathways of vasoactive mediators.

Blood Flow Regulation Is Impaired in Glaucoma

Patients with glaucomatous optic neuropathy have abnormal autoregulatory responses due to the dysfunction of the cells involved in these processes (Pournaras et al., 2004; Galambos et al., 2006; Feke and Pasquale, 2008; Prada et al., 2016). Cellular stress derived from pressure changes at the ONH, combined with impaired autoregulatory responses which triggering ischemia may accelerate glaucomatous RGC degeneration (Trible et al., 1993).

Elevated serum levels of ET-1 and other biochemical markers of endothelial function in the aqueous humor of glaucoma patients suggest that endothelial dysfunction is associated with disease pathology (Sugiyama et al., 1995; Noske et al., 1997; Resch et al., 2009a; Ghanem et al., 2011; Cellini et al., 2012; Li et al., 2016). There is a statistically significant correlation between microvascular endothelial function and severity of POAG in the Malay population (Bukhari et al., 2016). In patients, blocking both ETA and ETB receptors results in increased blood flow through the retina, choroid and ONH. In DBA/2J mouse studies, delivery of bodentan, a dual ETA and ETB receptor blocker, significantly protects against glaucomatous damage at the ONH (Resch et al., 2009b; Howell et al., 2011). In addition, administration of ET-1 in proximity to the optic nerve head leads to ischemia, and the appearance of clinical indications of glaucoma including increased cupping of the optic disc, which leads to subsequent RGC loss (Orgul et al., 1996; Chauhan et al., 2004; Cioffi et al., 2004). Mice with endothelium-specific overexpression of ET-1 exhibit both retinal vascular dysfunction and progressive loss of RGCs over 10–12 months (Mi et al., 2012). Importantly, a recent study in mice directly links IOP elevation to vascular endothelial dysfunction, which bolsters findings of endothelial dysfunction in glaucoma patients where elevated IOP is apparent. In the study, elevated IOP blunts retinal arteriole reactivity in response to the endothelium-dependent vasodilator acetylcholine, but not to the endothelium-independent nitric oxide donor, nitroprusside. Also, retinal arteriole responses to changes in perfusion pressure are compromised in eyes with elevated pressure, suggesting that autoregulation is impaired (Gericke et al., 2019). In the DBA/2J mouse model of inherited glaucoma, several molecular changes in the ONH are detectable before damage to optic nerve axons have been elucidated, and these include endothelin induction in microglia (Howell et al., 2011).

As well as perturbations in the endothelin-1 pathway, there is also longstanding evidence that impaired NO signaling is implicated in glaucoma (Haefliger and Anderson, 1997; Polak et al., 2007; Wareham et al., 2018). NO is a gaseous signaling molecule, however, high NO concentrations can be neurotoxic and induce oxidative stress through the formation of reactive nitrogen species (Pacher et al., 2007). In a rat model of glaucoma, RGC degeneration is linked with increased nNOS expression and RGC loss was prevented by NOS inhibition (Neufeld et al., 2002). NO is not always deleterious to ocular function, and a delicate balance in NO production is therefore necessary to support a healthy cellular environment. Production of NO by NO-synthase (NOS) enzymes in the ONH is essential for controlling the vascular tone of the region (Haefliger et al., 1992, 1993, 1999). When NO production is blocked systemically by inhibition of NOS in glaucoma patients, both choroidal and ONH blood flow do not decrease to the same extent as in healthy patient controls, suggesting that elevated basal NO in glaucoma patients may be a compensatory mechanism to ensure optimal ocular blood flow (Polak et al., 2007). On the other hand reports of decreased levels of NO were found in the aqueous humor of POAG patients (Doganay et al., 2002), as well as a reduction in the levels of cGMP, a signaling molecule downstream of NO production (Galassi et al., 2004). In animals, impaired NO signaling has also been linked with glaucomatous characteristics. A mouse line deficient in the alpha subunit of the guanylate cyclase (GC1–/–), an enzyme activated by NO and responsible for the production of cGMP), develop POAG over time, characterized by RGC axon loss, modest increases in IOP and impaired retinal vascular function (Buys et al., 2013). RGC loss is linked to deficiencies in the NO-cGMP signaling pathway in two animal models of glaucoma and treatment with tadalafil, a phosphodiesterase inhibitor prevents RGC degeneration, independently of IOP (Wareham et al., 2018).

Dysfunction in the NO signaling pathway, either through up-regulation, or down-regulation, is a likely contributor to abnormal ocular blood flow; an increase or decrease in NO shifts the balance between vasoconstrictive and vasodilatory mediators. Poor ocular perfusion is directly detrimental to RGC health, leading to ischemia, oxidative stress, and lack of metabolic support. In addition, a reduction in ocular perfusion may also increase the sensitivity of the cells to other glaucoma-related stressors conveyed at the ONH that further exacerbate disease progression.

Neurovascular Coupling in Glaucoma

Neuronal activity and blood flow are tightly coupled in the central nervous system in a phenomenon known as ‘functional hyperemia’ – a spike in neuronal activity evokes increased blood flow to the area (Roy and Sherrington, 1890). After initial observations in the brain, the general consensus was that homeostatic regulation of blood flow was dependent on local metabolite concentration in a negative feedback loop. In this mechanism, increased neuronal activity leads to increased energy demand, for example, the additional ATP consumption that is required to reset ion gradients after an action potential (Attwell et al., 2010). A reduction in ATP is perceived as an increased need for metabolites in tissues and thus induces dilation of blood vessels. However, the vascular supply to tissues after neuronal activity far supersedes the metabolic requirements of the tissue, so a feedback mechanism working alone has been discredited (Powers et al., 1996). More recent work has shown that glial cells play a major role in neurovascular coupling (NVC) via a feedforward mechanism (Vaucher et al., 1997; Attwell et al., 2010; Petzold and Murthy, 2011). In this process, neuronal activity leads to neuronal signaling to nearby blood vessels or astrocytes, which leads to the release of vasoactive agents thereby increasing blood supply (Attwell et al., 2010). The latest consensus is that both feedforward and feedback mechanisms are at play; the initial feed-forward mechanisms that over-supply neurons with nutrients may be balanced by a feedback mechanism that is metabolism-dependent and responsive to the accumulation of vasoactive metabolic by-products (Iadecola, 2017). The objective of these mechanisms medicated by the NVU is to meet the metabolic needs of the neurons. A triumvirate of cell types comprise the NVU (Figure 3A): vascular cells (vascular smooth muscle cells, pericytes and endothelial cells), glial cells (astrocytes, microglia, and oligodendrocytes), and neurons (Iadecola, 2004; Attwell et al., 2010; Hamilton et al., 2010; Winkler et al., 2011).

FIGURE 3
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Figure 3. Cells of the ‘neurovascular unit’ and the light flicker response. Neurovascular coupling describes the coupling of neuronal activity to vascular responses. (A) Shows the cells comprising the NVU, these include neurons (in the eye specifically – RGCs), astrocytes, microglia, pericytes, and endothelial cells. In general, a spike in neuronal activity leads to an increase in intracellular Ca2+, which generates NO. NO diffuses to local blood vessel endothelial cells, activating K+ channels, which leads to downstream vasodilation and increased blood flow. The light flicker response demonstrates the tight coupling of neuronal activity (in response to light) and change in vessel diameters in the retina. In glaucoma, this light flicker response is diminished. (B) To measure the light flicker response in the retina, a fundus video is used (image left) where the temporal inferior artery and vein, and temporal superior artery and vein are clearly visible. Areas of analysis are shown in grayscale boxes. Graphical representation the light flicker response in control, ocular hypertension (OHT) and glaucoma patients shows diminished vessel response with disease. Figure adapted from Gugleta et al. (2013b).

The NVC response has been elegantly demonstrated in the ONH and retina with experiments investigating hemodynamic responses to flicker-light stimulation (Riva et al., 1986, 1997; Garhofer et al., 2003, 2005; Gugleta et al., 2012, 2013a). In glaucoma patients, this response is dysfunctional; flicker-light induced retinal vasodilation responses are diminished (Figure 3B, Garhofer et al., 2004). This impaired response is likely due to reduced neuronal activity and altered glial cell function in the disease (Kornzweig et al., 1968; Hernandez et al., 2008). However, it could also be directly related to fluctuations in IOP, or vascular dysfunction in the tissue. In an experiment where short term IOP elevations of up to 43 mmHg were inflicted in healthy subjects, flicker-light stimulations in the retina were maintained, suggesting that diminished responses in glaucoma patients are not necessarily directly due to changes in IOP alone (Garhofer et al., 2005). Thus, the dysfunctional NVC response observed in glaucoma patients probably arises from dysfunction at the cellular level provoked by other, non-IOP-related stressors.

Pericytes and the NVU

The involvement of pericytes in the regulation of blood flow in the retina and the relation to glaucomatous disease has been largely unexplored. Pericytes are embedded in the basement membranes of microvessels, and extend their processes along capillaries, pre-capillary arterioles and post-capillary venules (Sweeney et al., 2016). Pericytes express several types of muscle contractile proteins (Herman and D’amore, 1985) and are involved in propagating vasomotor signals along the length of capillaries (Peppiatt et al., 2006; Puro, 2007). Pericytes are responsive to vasoactive molecules described earlier, e.g., NO, and other circulating metabolites, such as ATP (Haefliger and Anderson, 1997; Kawamura et al., 2003). Pericytes function similarly to smooth muscle and endothelial cells, possessing a number of ion channels and transporters that help to mediate changes in capillary diameter. Like smooth muscle, alterations in pericyte tone and contractile ability change with intracellular Ca2+ levels (Sakagami et al., 1999, 2001; Wu et al., 2003). The overall tone of pericyte-containing microvessels is the result of a balance between Ca2+-mediated contractility and by NO-mediated relaxation (Kutcher et al., 2007).

As an integral cell of the NVU, it is unlikely that pericytes are immune to cellular changes or dysregulation. In an experiment mimicking glaucoma in mice, elevated IOP stimulated the expression of β-III-tubulin, a neuronal cell marker, in both pericytes and endothelial cells, suggesting that vascular cells respond to changes in IOP via alterations in protein expression (Prokosch et al., 2019). It is not yet understood how these expression changes relate to regulation of blood flow or in NVC responses in the retina, however, the results suggest that pericytes respond to IOP-related stress through changes in gene expression. Furthermore, pericytes themselves are vulnerable in ischemic conditions; retinal ischemia reduces the ability of pericytes to relax after constriction, leading to a further decrease in blood flow (Hall et al., 2014; Sweeney et al., 2016; Alarcon-Martinez et al., 2019). Glaucoma has been described as a vasospastic disease, whereby retinal ischemia-reperfusion injury repeatedly occurs, rather than a single ischemic event (Flammer et al., 2001). Reduced retinal blood flow in glaucoma may lead to pericyte dysfunction, which may further impact reperfusion of retinal tissue. Glaucoma is associated with aging, and changes in pericytes that occur with age may also contribute to, and encourage, degeneration of RGCs. In the aged rat retina, there is breakdown of the normal vascular architecture and reduced pericyte-endothelial cell contact (Hughes et al., 2006). Pericytes express a number of gap junction proteins that facilitate cell–cell communication with other cells of the NVU, and expression changes of these gap junctions in glaucoma may also play a role in vascular dysfunction (discussed below). With their central role in retinal perfusion, the role of pericytes in ocular perfusion and blood flow in glaucoma is crucial in our understanding of vascular dysfunction in the disease and is an area that warrants further investigation.

Vascular Connectivity in Glaucoma

Astrocytes are the predominant glial cell type of the unmyelinated ONH, and their close proximity to blood vessels hints at their importance in mediating blood flow (Balaratnasingam et al., 2014). Astrocytes react to neurotransmitters released during neuronal activity (such as glutamate) by increasing their intracellular Ca2+ levels, prompting the release of vasoactive substances, such as K+ (Porter and Mccarthy, 1996; Filosa et al., 2006). Astrocytes are key players in the neurovascular coupling response and in healthy eyes, they are quiescent and mediate normal neurovascular responses (Bachoo et al., 2004), however, in response to changes in the ONH environment, such as changes in IOP, or ischemia, astrocytes become reactive, promoting the degradation of RGCs and their axons (Varela and Hernandez, 1997; Hernandez et al., 2008). Since changes in glial reactivity are significantly implicated in various stages of glaucoma, it is plausible that all cells of the NVU in some way have a role to play in the breakdown of NVC in the retina and ONH that contributes to disease progression. Multiple pathways integral to the NVU are differentially regulated in glaucoma, and evidence for their role in glaucoma progression is outlined below.

In NVC, NO surfaces as an important player when considering direct neuronal signaling to blood vessels. An increase in neuronal activity causes the synaptic release of glutamate, activating NMDA receptors on neurons, leading to increased intracellular levels of Ca2+. An elevated level of Ca2+ triggers a cascade of events leading to the activation of nNOS, which generates intracellular NO. NO can directly activate BKCa channels (Bolotina et al., 1994), or indirect activation can occur through NO-derived cGMP (Stumpff et al., 1997). Activation of BKCa channels leads to K+ efflux and cell hyperpolarization. Cell hyperpolarization causes voltage-operated (L-type) Ca2+ channels to close, reducing Ca2+ influx, leading to vasorelaxation of vascular smooth muscle cells. This chain of events leads to vasodilation and increased blood flow (Cavet et al., 2014; Prada et al., 2016). Dysfunctional NO signaling is implicated in glaucoma pathogenesis and endothelial dysfunction. Inhibitors of NOS attenuate light-induced vasodilation in the retina and the ONH (Kondo et al., 1997) and increased levels of NO are observed in the ONH in response to changes in neuronal activity in flicker-stimulation (Buerk and Riva, 2002). Reactive astrocytes have been shown to produce excess amounts of NO through the activation of inducible-NOS (iNOS) (Neufeld et al., 1997; Liu and Neufeld, 2000), increasing free radicals and causing damage to local axons. Interestingly, despite high levels of NO in the ONH, blood flow is still often impaired. NO signaling represents a double-edged sword paradigm; NO in excess is detrimental to cells, causing great damage to cellular components and their dysfunction; this likely impacts vascular function. However, lower levels of NO, however, can fine-tune vascular responses. The role of NO in the NVC response may therefore lie in modulation, rather than mediation of the response; in the rat retina, high concentrations of NO leads to vasodilation of nearby blood vessels, whereas lower concentrations causes vasoconstriction (Metea and Newman, 2006). Impaired NO signaling in astrocytes may indeed contribute to atypical neurovascular responses, causing reductions in ocular blood flow that ultimately lead to ischemia and subsequent RGC degeneration.

In the retina and optic nerve, gap junction channels between cells mediate intercellular communication, such as the communication between astrocytes and blood vessels. This communication can occur from glial cell to glial cell, or through glial cells communication to other cell types. The concept of neuron-glial connectivity, or ‘gliotransmission,’ was initially introduced to account for the active transfer of neuroactive molecules, from glia to neurons (Bezzi and Volterra, 2001). Initial evidence that connexin channels played a role in neuron-glial interactions was demonstrated using co-culture models and ex vivo brain slices (Nedergaard, 1994; Froes et al., 1999; Giaume and Theis, 2010). Increases in Ca2+ generated in astrocytes triggered Ca2+ responses in co-cultured neurons; an effect abolished by connexin channel blockers, suggesting that astrocytic-neuronal connectivity is mediated, in part by gap junctions. These junctions are integral to cell-to-cell transfer of electrical conductance (Na+, K+, and Ca2+) and small molecules such as ATP/ADP, glutamate, and glucose, and second messengers (e.g., NO, cGMP, and cAMP; Bloomfield and Volgyi, 2009; Giaume et al., 2020). The five major neuronal classes in the vertebrate retina form diverse coupling networks by gap junctions formed by connexin proteins (Sohl and Willecke, 2003; Sohl et al., 2005). Gap junction channels have been implicated in numerous cellular processes including in maintaining ionic balance, synaptic plasticity, metabolic substrate trafficking, and cellular survival (Andrade-Rozental et al., 2000; Wright et al., 2001; Bloomfield and Volgyi, 2009; Spray et al., 2013). Gap junction-mediated gliotransmission is a vastly growing field, and we refer the reader to a recent review (Giaume et al., 2020).

In the retinal NVU, gap junctions are integral in the maintenance of the blood–retinal-barrier (Figure 4), and in glaucoma, changes in gap junction expression may compromise the blood–retinal-barrier, exacerbating neuronal degeneration (Figure 4B). Ischemia and ocular perfusion instability in glaucoma damages astrocyte–astrocyte gap junctions; under experimental elevated-IOP conditions, there is decreased gap junction communication between ONH astrocytes (Malone et al., 2007). This may lead to loss of continuity and communication between astrocytes and other cells of the NVU, including pericytes and neurons, which can disrupt ionic and metabolic homeostasis in the tissue and eventually alter blood flow (Hernandez et al., 2008). Indeed, expression of Cx43 in pericytes is important in the development, maturation, and maintenance of the blood–brain-barrier and also in retinal blood flow (Trost et al., 2016; Giaume et al., 2020), but changes in connexin expression in pericytes as they relate to glaucoma progression have not been investigated to date. In healthy rabbits, uncoupling the gap junctions between astrocytes impairs ONH blood flow regulation (Shibata et al., 2011). Ischemia also differentially regulates the hemichannels of gap junctions (Thompson et al., 2006). In human glaucomatous eyes, Cx43 expression is upregulated at the level of the lamina cribrosa and in the peripapillary and mid-peripheral retina in association with glial activation (Kerr et al., 2012). In vitro studies show that an increase in hydrostatic pressure leads to loss of gap junction communication and redistribution in human astrocytes (Malone et al., 2007). Conversely, in other models of retinal ischemia, blockade of Cx43 reduced overall cell death and injury in the retina and ONH (Kerr et al., 2012).

FIGURE 4
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Figure 4. Cell communication in the NVU. (A) In healthy tissues, retinal ganglion cell (RGC) neurons, astrocytes and endothelial cells communicate through gap junctions which permit the movement of electrical conductance (Na+, K+, and Ca2+) and small molecules such as ATP/ADP, glutamate, and glucose, and second messengers. Gap junctions exist in the retina and ONH between neurons, glia and between vascular cells. (B) In glaucoma, several changes occur that affect communication between the cells of the NVU. (1) RGCs are vulnerable to stressors that lead to apoptosis; (2) cell–cell communication is lost as astrocytes and other glial cells become reactive and gap junction expression is reduced; (3) a reduction in gap junction expression, and loss of tight junctions between vascular cells leads to a leaky blood–retinal-barrier (BRB), allowing the infiltration of circulating monocytes into the retina and ONH.

In the optic nerve and ONH, the processes of astrocytes are interconnected via gap junction proteins Cx30 and Cx43, allowing intercellular communication that contributes to maintaining a homeostatic cellular environment (Quigley, 1977; Rose and Ransom, 1997; Rash et al., 2001). Expression of Cx43 on astrocytes increases during chronic stress (Frisch et al., 2003; Giaume and Theis, 2010; Kerr et al., 2011). In vitro, elevated hydrostatic pressure causes astrocytes to alter localization and phosphorylation state of Cx43 (Malone et al., 2007). Increased phosphorylation of Cx43 leads to gap junction uncoupling (Warn-Cramer et al., 1998), whereas decreased phosphorylation is correlated with a decrease in gap junction communication (Godwin et al., 1993) or an increased in gap junction conductance (Moreno et al., 1994). These studies do not provide direct in vivo evidence for increased connectivity between astrocytes under glaucoma stress but suggest that glaucoma-related stresses can alter the connectivity of astrocyte gap junction proteins and their activity.

The role of gap junctions in the vasculature of the retina and ONH is less well established. Direct electrical communication of vascular cells via gap junctions has been shown to mediate the vasomotor tone and propagation of vasomotor response in the retina (Ivanova et al., 2017). Most recently, expression of another gap junction, Cx45, was shown to form electrical synapses on RGC axons in the optic nerve (Smedowski et al., 2020). In other degenerative eye diseases, such as diabetic retinopathy, down-regulation of gap junctions leads to the breakdown of the blood–retinal-barrier (Oku et al., 2001; Bobbie et al., 2010; Tien et al., 2016). There is evidence elsewhere in the CNS for gap junction association with tight junctions; in the porcine blood–brain-barrier, Cx43- and Cx40-containing gap junctions are required for the endothelial barrier (Nagasawa et al., 2006). In mice, connexins Cx43 and Cx40 are expressed throughout the retina on glia and retinal vasculature, whilst Cx37 is expressed along endothelial cells throughout the retinal vascular tree (Ivanova et al., 2019). In particular, Cx43 is expressed at tight junctions and between astroglia and endothelial cells, suggesting that these gap junctions have an integral role in maintenance of the blood–retinal-barrier (Ivanova et al., 2019). Another gap junction, not yet linked to vascular communication in the retina, is Cx36 which is found throughout the inner retina, but not the optic nerve. The expression of Cx36 been shown to increase with elevated IOP in a mouse model of glaucoma (Akopian et al., 2017). Blockade of Cx36 prevents RGC degeneration, suggesting a role of Cx36 in promoting apoptosis through inter-neuronal communication of death-signals, however, a role for Cx36 in the function of the blood–retinal-barrier is yet to be explored.

Conclusion and Future Directions

The observation that systemic and ocular vascular dysfunctions are correlated with the incidence of glaucoma raises an important question; does vascular dysfunction precede glaucomatous optic neuropathy, increasing the sensitivity of RGCs to pressure at the ONH, or is it merely a secondary consequence of other pathological changes in the disease, e.g., increased inflammation? Treatments so far have focused on the anterior chamber with current therapies aimed at lowering IOP, the only modifiable risk factor for the disease. Such drugs address IOP by modulating the amount of aqueous humor produced by the ciliary body, or by improving outflow through the trabecular meshwork (Weinreb et al., 2014). These treatments have variable success rates, with many patients requiring additional invasive surgery. A good proportion of patients continue to progress despite adhering to these treatment regimens – visual field loss is inevitable. In most cases treatments that target IOP serve only to delay progression of the disease, they do not prevent degeneration of RGCs and their axons.

The fact that glaucomatous optic neuropathy occurs at all levels of IOP, and that patients progress regardless of interventions to regulate IOP suggests that there are other factors that contribute to the degeneration of RGCs and their axons in the visual projection. As we have outlined, these factors include increased vascular dysfunction, and ocular hemodynamics are critical players in the progression of glaucoma (Flammer, 1994). Systemic vascular diseases such as hypertension and hypotension are correlated with glaucoma (Tielsch et al., 1995), and changes in the vasculature of glaucoma patients, for example, disc hemorrhages are also evident in both early and late stages of the disease. Ischemia at the ONH leads to increases in oxidative stress and inflammation, as well as a decrease in the supply of essential nutrients and metabolites. Such stressors not only lead to degeneration of RGCs directly, but also render RGCs more sensitive to mechanical stresses conveyed at the ONH. An important question is how all of these glaucomatous stressors interplay to cause sensitivity of RGCs. A novel hypothesis that may marry together vascular dysfunction with inflammation and biomechanical stress of tissue in the retina and ONH is the idea that the eye possesses an ocular glymphatic system (Wostyn et al., 2017). Such a glymphatic system would have a similar role in the eye as it does in the brain, primarily as an exit for toxic waste products. It would be interesting to investigate whether there is paravascular communication between the surroundings of the retinal vascular system and the surroundings of the central retinal vessels in the optic nerve, and how vascular factors may alter glymphatic flow.

As technologies for in vivo imaging of vasculature in the retina and ONH of glaucoma patients improve, evidence is mounting in support of vascular abnormalities coinciding with optic neuropathy in glaucoma. A key question moving forward in glaucoma research is how can we target vascular function in the design and development of new treatments? Vascular dysfunction in glaucoma likely arises from impaired functioning of cells in the NVU, and a loss of connectivity between neurons, glia, and endothelial cells. Thus, future research into the pathways involved in this intercellular communication, as outlined in this review, is key to our understanding of the role of NVC in glaucomatous disease and efforts to delineate the temporal changes in NVC and RGC death require urgent investigation. Vascular dysfunction occurs at all levels of IOP and can affect RGC health directly, however, we do not fully understand the role of these pathways in RGC survival. Further work in these areas will lead to therapies that are aimed at mediating proper vascular regulation and therapies that promote neurovascular interactions. Both of these are attractive novel areas to explore in the search for neuroprotective therapies in glaucoma.

Author Contributions

LW and DC collected the analysis and wrote the manuscript.

Funding

Support provided by the Research to Prevent Blindness Inc. Stein Innovation Award, the Stanley Cohen Innovation Fund, and National Institutes of Health grants EY017427, EY024997, and EY008126 to DC and by a Glaucoma Research Foundation Shaffer Award to LW.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Ahmad, S. S. (2016). Controversies in the vascular theory of glaucomatous optic nerve degeneration. Taiwan J. Ophthalmol. 6, 182–186. doi: 10.1016/j.tjo.2016.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Akil, H., Huang, A. S., Francis, B. A., Sadda, S. R., and Chopra, V. (2017). Retinal vessel density from optical coherence tomography angiography to differentiate early glaucoma, pre-perimetric glaucoma and normal eyes. PLoS One 12:e0170476. doi: 10.1371/journal.pone.0170476

PubMed Abstract | CrossRef Full Text | Google Scholar

Akopian, A., Kumar, S., Ramakrishnan, H., Roy, K., Viswanathan, S., and Bloomfield, S. A. (2017). Targeting neuronal gap junctions in mouse retina offers neuroprotection in glaucoma. J. Clin. Invest. 127, 2647–2661. doi: 10.1172/JCI91948

PubMed Abstract | CrossRef Full Text | Google Scholar

Alarcon-Martinez, L., Yilmaz-Ozcan, S., Yemisci, M., Schallek, J., Kilic, K., Villafranca-Baughman, D., et al. (2019). Retinal ischemia induces alpha-Sma-mediated capillary pericyte contraction coincident with perivascular glycogen depletion. Acta Neuropathol. Commun. 7:134. doi: 10.1186/s40478-019-0761-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Alm, A., and Bill, A. (1973). Ocular and optic nerve blood flow at normal and increased intraocular pressures in monkeys (Macaca irus): a study with radioactively labelled microspheres including flow determinations in brain and some other tissues. Exp. Eye Res. 15, 15–29. doi: 10.1016/0014-4835(73)90185-1

CrossRef Full Text | Google Scholar

Amerasinghe, N., Aung, T., Cheung, N., Fong, C. W., Wang, J. J., Mitchell, P., et al. (2008). Evidence of retinal vascular narrowing in glaucomatous eyes in an Asian population. Invest. Ophthalmol. Vis. Sci. 49, 5397–5402. doi: 10.1167/iovs.08-2142

PubMed Abstract | CrossRef Full Text | Google Scholar

Andrade-Rozental, A. F., Rozental, R., Hopperstad, M. G., Wu, J. K., Vrionis, F. D., and Spray, D. C. (2000). Gap junctions: the “kiss of death” and the “kiss of life”. Brain Res. Brain Res. Rev. 32, 308–315. doi: 10.1016/s0165-0173(99)00099-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Attwell, D., Buchan, A. M., Charpak, S., Lauritzen, M., Macvicar, B. A., and Newman, E. A. (2010). Glial and neuronal control of brain blood flow. Nature 468, 232–243. doi: 10.1038/nature09613

PubMed Abstract | CrossRef Full Text | Google Scholar

Bachoo, R. M., Kim, R. S., Ligon, K. L., Maher, E. A., Brennan, C., Billings, N., et al. (2004). Molecular diversity of astrocytes with implications for neurological disorders. Proc. Natl. Acad. Sci. U.S.A. 101, 8384–8389. doi: 10.1073/pnas.0402140101

PubMed Abstract | CrossRef Full Text | Google Scholar

Baek, S. U., Kim, Y. K., Ha, A., Kim, Y. W., Lee, J., Kim, J. S., et al. (2019). Diurnal change of retinal vessel density and mean ocular perfusion pressure in patients with open-angle glaucoma. PLoS One 14:e0215684. doi: 10.1371/journal.pone.0215684

PubMed Abstract | CrossRef Full Text | Google Scholar

Balaratnasingam, C., Kang, M. H., Yu, P., Chan, G., Morgan, W. H., Cringle, S. J., et al. (2014). Comparative quantitative study of astrocytes and capillary distribution in optic nerve laminar regions. Exp. Eye Res. 121, 11–22. doi: 10.1016/j.exer.2014.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Bezzi, P., and Volterra, A. (2001). A neuron-glia signalling network in the active brain. Curr. Opin. Neurobiol. 11, 387–394. doi: 10.1016/s0959-4388(00)00223-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Bloomfield, S. A., and Volgyi, B. (2009). The diverse functional roles and regulation of neuronal gap junctions in the retina. Nat. Rev. Neurosci. 10, 495–506. doi: 10.1038/nrn2636

PubMed Abstract | CrossRef Full Text | Google Scholar

Bobbie, M. W., Roy, S., Trudeau, K., Munger, S. J., Simon, A. M., and Roy, S. (2010). Reduced connexin 43 expression and its effect on the development of vascular lesions in retinas of diabetic mice. Invest. Ophthalmol. Vis. Sci. 51, 3758–3763. doi: 10.1167/iovs.09-4489

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolotina, V. M., Najibi, S., Palacino, J. J., Pagano, P. J., and Cohen, R. A. (1994). Nitric oxide directly activates calcium-dependent potassium channels in vascular smooth muscle. Nature 368, 850–853. doi: 10.1038/368850a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Boltz, A., Schmidl, D., Werkmeister, R. M., Lasta, M., Kaya, S., Palkovits, S., et al. (2013). Regulation of optic nerve head blood flow during combined changes in intraocular pressure and arterial blood pressure. J. Cereb. Blood Flow Metab. 33, 1850–1856. doi: 10.1038/jcbfm.2013.137

PubMed Abstract | CrossRef Full Text | Google Scholar

Buckingham, B. P., Inman, D. M., Lambert, W., Oglesby, E., Calkins, D. J., Steele, M. R., et al. (2008). Progressive ganglion cell degeneration precedes neuronal loss in a mouse model of glaucoma. J. Neurosci. 28, 2735–2744. doi: 10.1523/JNEUROSCI.4443-07.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Buerk, D. G., and Riva, C. E. (2002). Adenosine enhances functional activation of blood flow in cat optic nerve head during photic stimulation independently from nitric oxide. Microvasc. Res. 64, 254–264. doi: 10.1006/mvre.2002.2432

PubMed Abstract | CrossRef Full Text | Google Scholar

Bukhari, S. M., Kiu, K. Y., Thambiraja, R., Sulong, S., Rasool, A. H., and Liza-Sharmini, A. T. (2016). Microvascular endothelial function and severity of primary open angle glaucoma. Eye (Lond) 30, 1579–1587. doi: 10.1038/eye.2016.185

PubMed Abstract | CrossRef Full Text | Google Scholar

Burgoyne, C. F. (2011). A biomechanical paradigm for axonal insult within the optic nerve head in aging and glaucoma. Exp. Eye. Res. 93, 120–132. doi: 10.1016/j.exer.2010.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Burgoyne, C. F., Downs, J. C., Bellezza, A. J., Suh, J. K., and Hart, R. T. (2005). The optic nerve head as a biomechanical structure: a new paradigm for understanding the role of IOP-related stress and strain in the pathophysiology of glaucomatous optic nerve head damage. Prog. Retin. Eye Res. 24, 39–73. doi: 10.1016/j.preteyeres.2004.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Buttery, R. G., Hinrichsen, C. F., Weller, W. L., and Haight, J. R. (1991). How thick should a retina be? A comparative study of mammalian species with and without intraretinal vasculature. Vision Res. 31, 169–187. doi: 10.1016/0042-6989(91)90110-q

PubMed Abstract | CrossRef Full Text | Google Scholar

Buys, E. S., Ko, Y. C., Alt, C., Hayton, S. R., Jones, A., Tainsh, L. T., et al. (2013). Soluble guanylate cyclase alpha1-deficient mice: a novel murine model for primary open angle glaucoma. PLoS One 8:e60156. doi: 10.1371/journal.pone.0060156

PubMed Abstract | CrossRef Full Text | Google Scholar

Calkins, D. J. (2012). Critical pathogenic events underlying progression of neurodegeneration in glaucoma. Prog. Retin. Eye Res. 31, 702–719. doi: 10.1016/j.preteyeres.2012.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Cavet, M. E., Vittitow, J. L., Impagnatiello, F., Ongini, E., and Bastia, E. (2014). Nitric oxide (NO): an emerging target for the treatment of glaucoma. Invest. Ophthalmol. Vis. Sci. 55, 5005–5015.

Google Scholar

Cellini, M., Strobbe, E., Gizzi, C., Balducci, N., Toschi, P. G., and Campos, E. C. (2012). Endothelin-1 plasma levels and vascular endothelial dysfunction in primary open angle glaucoma. Life Sci. 91, 699–702. doi: 10.1016/j.lfs.2012.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaphalkar, R. M., Stankowska, D. L., He, S., Kodati, B., Phillips, N., Prah, J., et al. (2020). Endothelin-1 mediated decrease in mitochondrial gene expression and bioenergetics contribute to neurodegeneration of retinal ganglion cells. Sci. Rep. 10:3571. doi: 10.1038/s41598-020-60558-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Chauhan, B. C., Levatte, T. L., Jollimore, C. A., Yu, P. K., Reitsamer, H. A., Kelly, M. E., et al. (2004). Model of endothelin-1-induced chronic optic neuropathy in rat. Invest. Ophthalmol. Vis. Sci. 45, 144–152.

PubMed Abstract | Google Scholar

Cioffi, G. A., Wang, L., Fortune, B., Cull, G., Dong, J., Bui, B., et al. (2004). Chronic ischemia induces regional axonal damage in experimental primate optic neuropathy. Arch. Ophthalmol. 122, 1517–1525.

PubMed Abstract | Google Scholar

Country, M. W. (2017). Retinal metabolism: a comparative look at energetics in the retina. Brain Res. 1672, 50–57. doi: 10.1016/j.brainres.2017.07.025

PubMed Abstract | CrossRef Full Text | Google Scholar

De Haseth, K., Cheung, N., Saw, S. M., Islam, F. M., Mitchell, P., and Wong, T. Y. (2007). Influence of intraocular pressure on retinal vascular caliber measurements in children. Am. J. Ophthalmol. 143, 1040–1042. doi: 10.1016/j.ajo.2007.01.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Dienstbier, E., Balik, J., and Kafka, H. (1950). A contribution to the theory of the vascular origin of glaucoma. Br. J. Ophthalmol. 34, 47–58. doi: 10.1136/bjo.34.1.47

PubMed Abstract | CrossRef Full Text | Google Scholar

Doganay, S., Evereklioglu, C., Turkoz, Y., and Er, H. (2002). Decreased nitric oxide production in primary open-angle glaucoma. Eur. J. Ophthalmol. 12, 44–48. doi: 10.1177/112067210201200109

PubMed Abstract | CrossRef Full Text | Google Scholar

Dowling, J. E. (1987). The Retina: An Approachable Part of the Brain, Cambridge, Mass. London: Belknap Press of Harvard University Press.

Google Scholar

Downs, J. C. (2015). Optic nerve head biomechanics in aging and disease. Exp. Eye Res. 133, 19–29. doi: 10.1016/j.exer.2015.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Feke, G. T., and Pasquale, L. R. (2008). Retinal blood flow response to posture change in glaucoma patients compared with healthy subjects. Ophthalmology 115, 246–252. doi: 10.1016/j.ophtha.2007.04.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Filosa, J. A., Bonev, A. D., Straub, S. V., Meredith, A. L., Wilkerson, M. K., Aldrich, R. W., et al. (2006). Local potassium signaling couples neuronal activity to vasodilation in the brain. Nat. Neurosci. 9, 1397–1403. doi: 10.1038/nn1779

PubMed Abstract | CrossRef Full Text | Google Scholar

Flammer, J. (1984). “Psychophysics in glaucoma. A modified concept of the disease,” in Documenta Ophthalmologica Proceedings, eds E. L. Greve, W. Leydhecker, and C. Raitta (Dordrecht: Dr. W. Junk Publishers).

Google Scholar

Flammer, J. (1994). The vascular concept of glaucoma. Surv. Ophthalmol. 38, S3–S6.

PubMed Abstract | Google Scholar

Flammer, J. (2001). Glaucomatous optic neuropathy: a reperfusion injury. Klin. Monbl. Augenheilkd. 218, 290–291.

Google Scholar

Flammer, J., Pache, M., and Resink, T. (2001). Vasospasm, its role in the pathogenesis of diseases with particular reference to the eye. Prog. Retin. Eye Res. 20, 319–349. doi: 10.1016/s1350-9462(00)00028-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Frisch, C., Theis, M., De Souza Silva, M. A., Dere, E., Sohl, G., Teubner, B., et al. (2003). Mice with astrocyte-directed inactivation of connexin43 exhibit increased exploratory behaviour, impaired motor capacities, and changes in brain acetylcholine levels. Eur. J. Neurosci. 18, 2313–2318. doi: 10.1046/j.1460-9568.2003.02971.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Froes, M. M., Correia, A. H., Garcia-Abreu, J., Spray, D. C., Campos De Carvalho, A. C., and Neto, M. V. (1999). Gap-junctional coupling between neurons and astrocytes in primary central nervous system cultures. Proc. Natl. Acad. Sci. U.S.A. 96, 7541–7546. doi: 10.1073/pnas.96.13.7541

PubMed Abstract | CrossRef Full Text | Google Scholar

Galambos, P., Vafiadis, J., Vilchez, S. E., Wagenfeld, L., Matthiessen, E. T., Richard, G., et al. (2006). Compromised autoregulatory control of ocular hemodynamics in glaucoma patients after postural change. Ophthalmology 113, 1832–1836. doi: 10.1016/j.ophtha.2006.05.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Galassi, F., Renieri, G., Sodi, A., Ucci, F., Vannozzi, L., and Masini, E. (2004). Nitric oxide proxies and ocular perfusion pressure in primary open angle glaucoma. Br. J. Ophthalmol. 88, 757–760. doi: 10.1136/bjo.2003.028357

PubMed Abstract | CrossRef Full Text | Google Scholar

Galassi, F., Sodi, A., Ucci, F., Renieri, G., Pieri, B., and Baccini, M. (2003). Ocular hemodynamics and glaucoma prognosis: a color Doppler imaging study. Arch. Ophthalmol. 121, 1711–1715.

PubMed Abstract | Google Scholar

Garhofer, G., Resch, H., Weigert, G., Lung, S., Simader, C., and Schmetterer, L. (2005). Short-term increase of intraocular pressure does not alter the response of retinal and optic nerve head blood flow to flicker stimulation. Invest. Ophthalmol. Vis. Sci. 46, 1721–1725.

Google Scholar

Garhofer, G., Zawinka, C., Huemer, K. H., Schmetterer, L., and Dorner, G. T. (2003). Flicker light-induced vasodilatation in the human retina: effect of lactate and changes in mean arterial pressure. Invest. Ophthalmol. Vis. Sci. 44, 5309–5314.

PubMed Abstract | Google Scholar

Garhofer, G., Zawinka, C., Resch, H., Huemer, K. H., Schmetterer, L., and Dorner, G. T. (2004). Response of retinal vessel diameters to flicker stimulation in patients with early open angle glaucoma. J. Glaucoma 13, 340–344. doi: 10.1097/00061198-200408000-00013

PubMed Abstract | CrossRef Full Text | Google Scholar

Gericke, A., Mann, C., Zadeh, J. K., Musayeva, A., Wolff, I., Wang, M., et al. (2019). Elevated intraocular pressure causes abnormal reactivity of mouse retinal arterioles. Oxid. Med. Cell Longev. 2019:9736047. doi: 10.1155/2019/9736047

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghanem, A. A., Elewa, A. M., and Arafa, L. F. (2011). Endothelin-1 and nitric oxide levels in patients with glaucoma. Ophthalmic Res. 46, 98–102. doi: 10.1159/000323584

PubMed Abstract | CrossRef Full Text | Google Scholar

Giaume, C., and Theis, M. (2010). Pharmacological and genetic approaches to study connexin-mediated channels in glial cells of the central nervous system. Brain Res. Rev. 63, 160–176. doi: 10.1016/j.brainresrev.2009.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Giaume, C. B., Naus, C. C., Saez, J. C., and Leybaert, L. (2020). Glial connexins and pannexins in the healthy and diseased brain. Physiol. Rev. doi: 10.1152/physrev.00043.2018 [Epub ahead of print].

CrossRef Full Text | PubMed Abstract | Google Scholar

Godwin, A. J., Green, L. M., Walsh, M. P., Mcdonald, J. R., Walsh, D. A., and Fletcher, W. H. (1993). In situ regulation of cell-cell communication by the camp-dependent protein kinase and protein kinase C. Mol. Cell Biochem. 12, 293–307. doi: 10.1007/978-1-4615-2600-1_27

PubMed Abstract | CrossRef Full Text | Google Scholar

Grieshaber, M. C., and Flammer, J. (2005). Blood flow in glaucoma. Curr. Opin. Ophthalmol. 16, 79–83.

PubMed Abstract | Google Scholar

Gugleta, K., Kochkorov, A., Waldmann, N., Polunina, A., Katamay, R., Flammer, J., et al. (2012). Dynamics of retinal vessel response to flicker light in glaucoma patients and ocular hypertensives. Graefes Arch. Clin. Exp. Ophthalmol. 250, 589–594. doi: 10.1007/s00417-011-1842-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Gugleta, K., Turksever, C., Polunina, A., and Orgul, S. (2013a). Effect of ageing on the retinal vascular responsiveness to flicker light in glaucoma patients and in ocular hypertension. Br. J. Ophthalmol. 97, 848–851. doi: 10.1136/bjophthalmol-2012-302779

PubMed Abstract | CrossRef Full Text | Google Scholar

Gugleta, K., Waldmann, N., Polunina, A., Kochkorov, A., Katamay, R., Flammer, J., et al. (2013b). Retinal neurovascular coupling in patients with glaucoma and ocular hypertension and its association with the level of glaucomatous damage. Graefes Arch. Clin Exp. Ophthalmol. 251, 1577–1585. doi: 10.1007/s00417-013-2276-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Haefliger, I. O., and Anderson, D. R. (1997). Oxygen modulation of guanylate cyclase-mediated retinal pericyte relaxations with 3-morpholino-sydnonimine and atrial natriuretic peptide. Invest. Ophthalmol. Vis. Sci. 38, 1563–1568.

PubMed Abstract | Google Scholar

Haefliger, I. O., Dettmann, E., Liu, R., Meyer, P., Prunte, C., Messerli, J., et al. (1999). Potential role of nitric oxide and endothelin in the pathogenesis of glaucoma. Surv. Ophthalmol. 43(Suppl. 1), S51–S58.

PubMed Abstract | Google Scholar

Haefliger, I. O., Flammer, J., and Luscher, T. F. (1992). Nitric oxide and endothelin-1 are important regulators of human ophthalmic artery. Invest. Ophthalmol. Vis. Sci. 33, 2340–2343.

PubMed Abstract | Google Scholar

Haefliger, I. O., Flammer, J., and Luscher, T. F. (1993). Heterogeneity of endothelium-dependent regulation in ophthalmic and ciliary arteries. Invest. Ophthalmol. Vis. Sci. 34, 1722–1730.

PubMed Abstract | Google Scholar

Hall, C. N., Reynell, C., Gesslein, B., Hamilton, N. B., Mishra, A., Sutherland, B. A., et al. (2014). Capillary pericytes regulate cerebral blood flow in health and disease. Nature 508, 55–60. doi: 10.1038/nature13165

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamilton, N. B., Attwell, D., and Hall, C. N. (2010). Pericyte-mediated regulation of capillary diameter: a component of neurovascular coupling in health and disease. Front. Neuroenergetics 2:5. doi: 10.3389/fnene.2010.00005

PubMed Abstract | CrossRef Full Text | Google Scholar

Harris, A., Rechtman, E., Siesky, B., Jonescu-Cuypers, C., Mccranor, L., and Garzozi, H. J. (2005). The role of optic nerve blood flow in the pathogenesis of glaucoma. Ophthalmol. Clin. North Am. 18, 345–353.

PubMed Abstract | Google Scholar

Hayreh, S. S. (1969). Blood supply of the optic nerve head and its role in optic atrophy, glaucoma, and oedema of the optic disc. Br. J. Ophthalmol. 53, 721–748. doi: 10.1136/bjo.53.11.721

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayreh, S. S. (1997). Factors influencing blood flow in the optic nerve head. J. Glaucoma 6, 412–425.

Google Scholar

Hayreh, S. S. (2001). Blood flow in the optic nerve head and factors that may influence it. Prog. Retin. Eye Res. 20, 595–624. doi: 10.1016/s1350-9462(01)00005-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayreh, S. S., Revie, I. H., and Edwards, J. (1970). Vasogenic origin of visual field defects and optic nerve changes in glaucoma. Br. J. Ophthalmol. 54, 461–472. doi: 10.1136/bjo.54.7.461

PubMed Abstract | CrossRef Full Text | Google Scholar

Herman, I. M., and D’amore, P. A. (1985). Microvascular pericytes contain muscle and nonmuscle actins. J. Cell Biol. 101, 43–52. doi: 10.1083/jcb.101.1.43

PubMed Abstract | CrossRef Full Text | Google Scholar

Hernandez, M. R., Miao, H., and Lukas, T. (2008). Astrocytes in glaucomatous optic neuropathy. Prog. Brain Res. 173, 353–373. doi: 10.1016/S0079-6123(08)01125-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Hou, H., Moghimi, S., Zangwill, L. M., Shoji, T., Ghahari, E., Penteado, R. C., et al. (2019). Macula vessel density and thickness in early primary open-angle glaucoma. Am. J. Ophthalmol. 199, 120–132. doi: 10.1016/j.ajo.2018.11.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Howell, G. R., Macalinao, D. G., Sousa, G. L., Walden, M., Soto, I., Kneeland, S. C., et al. (2011). Molecular clustering identifies complement and endothelin induction as early events in a mouse model of glaucoma. J. Clin. Invest. 121, 1429–1444. doi: 10.1172/JCI44646

PubMed Abstract | CrossRef Full Text | Google Scholar

Hughes, S., Gardiner, T., Hu, P., Baxter, L., Rosinova, E., and Chan-Ling, T. (2006). Altered pericyte-endothelial relations in the rat retina during aging: implications for vessel stability. Neurobiol. Aging 27, 1838–1847. doi: 10.1016/j.neurobiolaging.2005.10.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Iadecola, C. (2004). Neurovascular regulation in the normal brain and in Alzheimer’s disease. Nat. Rev. Neurosci. 5, 347–360. doi: 10.1038/nrn1387

PubMed Abstract | CrossRef Full Text | Google Scholar

Iadecola, C. (2017). The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease. Neuron 96, 17–42. doi: 10.1016/j.neuron.2017.07.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Ivanova, E., Kovacs-Oller, T., and Sagdullaev, B. T. (2017). Vascular pericyte impairment and connexin43 gap junction deficit contribute to vasomotor decline in diabetic retinopathy. J. Neurosci. 37, 7580–7594. doi: 10.1523/JNEUROSCI.0187-17.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Ivanova, E., Kovacs-Oller, T., and Sagdullaev, B. T. (2019). Domain-specific distribution of gap junctions defines cellular coupling to establish a vascular relay in the retina. J. Comp. Neurol. 527, 2675–2693. doi: 10.1002/cne.24699

PubMed Abstract | CrossRef Full Text | Google Scholar

Januleviciene, I., Siaudvytyte, L., Diliene, V., Barsauskaite, R., Paulaviciute-Baikstiene, D., Siesky, B., et al. (2012). Comparison of intraocular pressure, blood pressure, ocular perfusion pressure and blood flow fluctuations during dorzolamide versus timolol add-on therapy in prostaglandin analogue treated glaucoma subjects. Pharmaceuticals (Basel) 5, 325–338. doi: 10.3390/ph5030325

PubMed Abstract | CrossRef Full Text | Google Scholar

Jia, Y., Morrison, J. C., Tokayer, J., Tan, O., Lombardi, L., Baumann, B., et al. (2012). Quantitative Oct angiography of optic nerve head blood flow. Biomed. Opt. Express 3, 3127–3137. doi: 10.1364/BOE.3.003127

PubMed Abstract | CrossRef Full Text | Google Scholar

Jonas, J. B., Fernandez, M. C., and Naumann, G. O. (1991). Parapapillary atrophy and retinal vessel diameter in nonglaucomatous optic nerve damage. Invest. Ophthalmol. Vis. Sci. 32, 2942–2947.

PubMed Abstract | Google Scholar

Jonas, J. B., and Naumann, G. O. (1989). Parapapillary retinal vessel diameter in normal and glaucoma eyes. II. Correlations. Invest. Ophthalmol. Vis. Sci. 30, 1604–1611.

Google Scholar

Jonas, J. B., Nguyen, X. N., and Naumann, G. O. (1989). Parapapillary retinal vessel diameter in normal and glaucoma eyes. I. Morphometric data. Invest. Ophthalmol. Vis. Sci. 30, 1599–1603.

Google Scholar

Kaiser, H. J., Schoetzau, A., Stumpfig, D., and Flammer, J. (1997). Blood-flow velocities of the extraocular vessels in patients with high-tension and normal-tension primary open-angle glaucoma. Am. J. Ophthalmol. 123, 320–327. doi: 10.1016/s0002-9394(14)70127-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, M. H., Suo, M., Balaratnasingam, C., Yu, P. K., Morgan, W. H., and Yu, D. Y. (2018). Microvascular Density Is Associated With Retinal Ganglion Cell Axonal Volume in the Laminar Compartments of the Human Optic Nerve Head. Invest. Ophthalmol. Vis. Sci. 59, 1562–1570. doi: 10.1167/iovs.17-23183

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaur, C., Foulds, W. S., and Ling, E. A. (2008). Hypoxia-ischemia and retinal ganglion cell damage. Clin. Ophthalmol. 2, 879–889.

PubMed Abstract | Google Scholar

Kawamura, H., Sugiyama, T., Wu, D. M., Kobayashi, M., Yamanishi, S., Katsumura, K., et al. (2003). ATP: a vasoactive signal in the pericyte-containing microvasculature of the rat retina. J. Physiol. 551, 787–799. doi: 10.1113/jphysiol.2003.047977

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawasaki, R., Wang, J. J., Rochtchina, E., Lee, A. J., Wong, T. Y., and Mitchell, P. (2013). Retinal vessel caliber is associated with the 10-year incidence of glaucoma: the blue mountains eye study. Ophthalmology 120, 84–90. doi: 10.1016/j.ophtha.2012.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerr, N. M., Johnson, C. S., Green, C. R., and Danesh-Meyer, H. V. (2011). Gap junction protein connexin43 (GJA1) in the human glaucomatous optic nerve head and retina. J. Clin. Neurosci. 18, 102–108. doi: 10.1016/j.jocn.2010.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerr, N. M., Johnson, C. S., Zhang, J., Eady, E. K., Green, C. R., and Danesh-Meyer, H. V. (2012). High pressure-induced retinal ischaemia reperfusion causes upregulation of gap junction protein connexin43 prior to retinal ganglion cell loss. Exp. Neurol. 234, 144–152. doi: 10.1016/j.expneurol.2011.12.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Kondo, M., Wang, L., and Bill, A. (1997). The role of nitric oxide in hyperaemic response to flicker in the retina and optic nerve in cats. Acta Ophthalmol. Scand. 75, 232–235. doi: 10.1111/j.1600-0420.1997.tb00762.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kornzweig, A. L., Eliasoph, I., and Feldstein, M. (1968). Selective atrophy of the radial peripapillary capillaries in chronic glaucoma. Arch. Ophthalmol. 80, 696–702. doi: 10.1001/archopht.1968.00980050698002

PubMed Abstract | CrossRef Full Text | Google Scholar

Krishnamoorthy, R. R., Rao, V. R., Dauphin, R., Prasanna, G., Johnson, C., and Yorio, T. (2008). Role of the ETB receptor in retinal ganglion cell death in glaucoma. Can. J. Physiol. Pharmacol. 86, 380–393. doi: 10.1139/Y08-040

PubMed Abstract | CrossRef Full Text | Google Scholar

Kur, J., Newman, E. A., and Chan-Ling, T. (2012). Cellular and physiological mechanisms underlying blood flow regulation in the retina and choroid in health and disease. Prog. Retin. Eye Res. 31, 377–406. doi: 10.1016/j.preteyeres.2012.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Kutcher, M. E., Kolyada, A. Y., Surks, H. K., and Herman, I. M. (2007). Pericyte Rho GTPase mediates both pericyte contractile phenotype and capillary endothelial growth state. Am. J. Pathol. 171, 693–701. doi: 10.2353/ajpath.2007.070102

PubMed Abstract | CrossRef Full Text | Google Scholar

Lau, J., Dang, M., Hockmann, K., and Ball, A. K. (2006). Effects of acute delivery of endothelin-1 on retinal ganglion cell loss in the rat. Exp. Eye Res. 82, 132–145. doi: 10.1016/j.exer.2005.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Lavery, W. J., Muir, E. R., Kiel, J. W., and Duong, T. Q. (2012). Magnetic resonance imaging indicates decreased choroidal and retinal blood flow in the DBA/2J mouse model of glaucoma. Invest. Ophthalmol. Vis. Sci. 53, 560–564. doi: 10.1167/iovs.11-8429

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawlor, M., Danesh-Meyer, H., Levin, L. A., Davagnanam, I., De Vita, E., and Plant, G. T. (2018). Glaucoma and the brain: trans-synaptic degeneration, structural change, and implications for neuroprotection. Surv. Ophthalmol. 63, 296–306. doi: 10.1016/j.survophthal.2017.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S. B., Uhm, K. B., and Hong, C. (1998). Retinal vessel diameter in normal and primary open-angle glaucoma. Korean J. Ophthalmol. 12, 51–59.

PubMed Abstract | Google Scholar

Li, L. J., Lee, Y. S., Wong, T. Y., and Cheung, C. Y. (2013). Can the retinal microvasculature offer clues to cardiovascular risk factors in early life? Acta Paediatr. 102, 941–946. doi: 10.1111/apa.12294

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, S., Zhang, A., Cao, W., and Sun, X. (2016). Elevated plasma Endothelin-1 levels in normal tension glaucoma and primary open-angle glaucoma: a meta-analysis. J. Ophthalmol. 2016:2678017.

PubMed Abstract | Google Scholar

Liu, B., and Neufeld, A. H. (2000). Expression of nitric oxide synthase-2 (NOS-2) in reactive astrocytes of the human glaucomatous optic nerve head. Glia 30, 178–186. doi: 10.1002/(sici)1098-1136(200004)30:2<178::aid-glia7>3.0.co;2-c

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, L., Jia, Y., Takusagawa, H. L., Pechauer, A. D., Edmunds, B., Lombardi, L., et al. (2015). Optical coherence tomography angiography of the peripapillary retina in glaucoma. JAMA Ophthalmol. 133, 1045–1052. doi: 10.1001/jamaophthalmol.2015.2225

PubMed Abstract | CrossRef Full Text | Google Scholar

Malone, P., Miao, H., Parker, A., Juarez, S., and Hernandez, M. R. (2007). Pressure induces loss of gap junction communication and redistribution of connexin 43 in astrocytes. Glia 55, 1085–1098. doi: 10.1002/glia.20527

PubMed Abstract | CrossRef Full Text | Google Scholar

Metea, M. R., and Newman, E. A. (2006). Glial cells dilate and constrict blood vessels: a mechanism of neurovascular coupling. J. Neurosci. 26, 2862–2870. doi: 10.1523/jneurosci.4048-05.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Mi, X. S., Zhang, X., Feng, Q., Lo, A. C., Chung, S. K., and So, K. F. (2012). Progressive retinal degeneration in transgenic mice with overexpression of endothelin-1 in vascular endothelial cells. Invest. Ophthalmol. Vis. Sci. 53, 4842–4851. doi: 10.1167/iovs.12-9999

PubMed Abstract | CrossRef Full Text | Google Scholar

Mitchell, P., Leung, H., Wang, J. J., Rochtchina, E., Lee, A. J., Wong, T. Y., et al. (2005). Retinal vessel diameter and open-angle glaucoma: the Blue Mountains Eye Study. Ophthalmology 112, 245–250. doi: 10.1016/j.ophtha.2004.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Moreno, A. P., Rook, M. B., Fishman, G. I., and Spray, D. C. (1994). Gap junction channels: distinct voltage-sensitive and -insensitive conductance states. Biophys. J. 67, 113–119. doi: 10.1016/s0006-3495(94)80460-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Moreno, M., Rios, M. C., Alba, C., Diaz, F., Villena, A., Figueroa-Ortiz, L. C., et al. (2014). Morphological and morphometric changes in rat optic nerve microvessels in a glaucoma experimental model. Arch. Soc. Esp. Oftalmol. 89, 471–476. doi: 10.1016/j.oftal.2014.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagasawa, K., Chiba, H., Fujita, H., Kojima, T., Saito, T., Endo, T., et al. (2006). Possible involvement of gap junctions in the barrier function of tight junctions of brain and lung endothelial cells. J. Cell Physiol. 208, 123–132. doi: 10.1002/jcp.20647

PubMed Abstract | CrossRef Full Text | Google Scholar

Nascimento, E. S. R., Chiou, C. A., Wang, M., Wang, H., Shoji, M. K., Chou, J. C., et al. (2019). Microvasculature of the optic nerve head and peripapillary region in patients with primary open-angle glaucoma. J. Glaucoma 28, 281–288. doi: 10.1097/IJG.0000000000001165

PubMed Abstract | CrossRef Full Text | Google Scholar

Nedergaard, M. (1994). Direct signaling from astrocytes to neurons in cultures of mammalian brain cells. Science 263, 1768–1771. doi: 10.1126/science.8134839

PubMed Abstract | CrossRef Full Text | Google Scholar

Neufeld, A. H., Das, S., Vora, S., Gachie, E., Kawai, S., Manning, P. T., et al. (2002). A prodrug of a selective inhibitor of inducible nitric oxide synthase is neuroprotective in the rat model of glaucoma. J. Glaucoma 11, 221–225. doi: 10.1097/00061198-200206000-00010

PubMed Abstract | CrossRef Full Text | Google Scholar

Neufeld, A. H., Hernandez, M. R., and Gonzalez, M. (1997). Nitric oxide synthase in the human glaucomatous optic nerve head. Arch. Ophthalmol. 115, 497–503.

PubMed Abstract | Google Scholar

Newman, A., Andrew, N., and Casson, R. (2018). Review of the association between retinal microvascular characteristics and eye disease. Clin. Exp. Ophthalmol. 46, 531–552. doi: 10.1111/ceo.13119

PubMed Abstract | CrossRef Full Text | Google Scholar

Nita, M., and Grzybowski, A. (2016). the role of the reactive oxygen species and oxidative stress in the pathomechanism of the age-related ocular diseases and other pathologies of the anterior and posterior eye segments in adults. Oxid. Med. Cell Longev. 2016:3164734. doi: 10.1155/2016/3164734

PubMed Abstract | CrossRef Full Text | Google Scholar

Noske, W., Hensen, J., and Wiederholt, M. (1997). Endothelin-like immunoreactivity in aqueous humor of patients with primary open-angle glaucoma and cataract. Graefes Arch. Clin. Exp. Ophthalmol. 235, 551–552. doi: 10.1007/bf00947082

PubMed Abstract | CrossRef Full Text | Google Scholar

Nyborg, N. C., and Nielsen, P. J. (1990). The level of spontaneous myogenic tone in isolated human posterior ciliary arteries decreases with age. Exp. Eye Res. 51, 711–715. doi: 10.1016/0014-4835(90)90056-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Oku, H., Kodama, T., Sakagami, K., and Puro, D. G. (2001). Diabetes-induced disruption of gap junction pathways within the retinal microvasculature. Invest. Ophthalmol. Vis. Sci. 42, 1915–1920.

PubMed Abstract | Google Scholar

Onda, E., Cioffi, G. A., Bacon, D. R., and Van Buskirk, E. M. (1995). Microvasculature of the human optic nerve. Am. J. Ophthalmol. 120, 92–102. doi: 10.1016/s0002-9394(14)73763-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Orgul, S., Cioffi, G. A., Wilson, D. J., Bacon, D. R., and Van Buskirk, E. M. (1996). An endothelin-1 induced model of optic nerve ischemia in the rabbit. Invest. Ophthalmol. Vis. Sci. 37, 1860–1869.

PubMed Abstract | Google Scholar

Orgul, S., Gugleta, K., and Flammer, J. (1999). Physiology of perfusion as it relates to the optic nerve head. Surv. Ophthalmol. 43(Suppl 1), S17–S26.

PubMed Abstract | Google Scholar

Osborne, N. N., Casson, R. J., Wood, J. P., Chidlow, G., Graham, M., and Melena, J. (2004). Retinal ischemia: mechanisms of damage and potential therapeutic strategies. Prog. Retin. Eye Res. 23, 91–147. doi: 10.1016/j.preteyeres.2003.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Pacher, P., Beckman, J. S., and Liaudet, L. (2007). Nitric oxide and peroxynitrite in health and disease. Physiol. Rev. 87, 315–424.

PubMed Abstract | Google Scholar

Papastathopoulos, K. I., and Jonas, J. B. (1999). Follow up of focal narrowing of retinal arterioles in glaucoma. Br. J. Ophthalmol. 83, 285–289. doi: 10.1136/bjo.83.3.285

PubMed Abstract | CrossRef Full Text | Google Scholar

Peppiatt, C. M., Howarth, C., Mobbs, P., and Attwell, D. (2006). Bidirectional control of CNS capillary diameter by pericytes. Nature 443, 700–704. doi: 10.1038/nature05193

PubMed Abstract | CrossRef Full Text | Google Scholar

Petzold, G. C., and Murthy, V. N. (2011). Role of astrocytes in neurovascular coupling. Neuron 71, 782–797. doi: 10.1016/j.neuron.2011.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Polak, K., Luksch, A., Berisha, F., Fuchsjaeger-Mayrl, G., Dallinger, S., and Schmetterer, L. (2007). Altered nitric oxide system in patients with open-angle glaucoma. Arch. Ophthalmol. 125, 494–498.

PubMed Abstract | Google Scholar

Pollock, D. M., Keith, T. L., and Highsmith, R. F. (1995). Endothelin receptors and calcium signaling. FASEB J. 9, 1196–1204.

PubMed Abstract | Google Scholar

Porter, J. T., and Mccarthy, K. D. (1996). Hippocampal astrocytes in situ respond to glutamate released from synaptic terminals. J. Neurosci. 16, 5073–5081. doi: 10.1523/jneurosci.16-16-05073.1996

PubMed Abstract | CrossRef Full Text | Google Scholar

Pournaras, C. J., Riva, C. E., Bresson-Dumont, H., De Gottrau, P., and Bechetoille, A. (2004). Regulation of optic nerve head blood flow in normal tension glaucoma patients. Eur. J. Ophthalmol. 14, 226–235. doi: 10.1177/112067210401400307

PubMed Abstract | CrossRef Full Text | Google Scholar

Powers, W. J., Hirsch, I. B., and Cryer, P. E. (1996). Effect of stepped hypoglycemia on regional cerebral blood flow response to physiological brain activation. Am. J. Physiol. 270, H554–H559.

PubMed Abstract | Google Scholar

Prada, D., Harris, A., Guidoboni, G., Siesky, B., Huang, A. M., and Arciero, J. (2016). Autoregulation and neurovascular coupling in the optic nerve head. Surv. Ophthalmol. 61, 164–186. doi: 10.1016/j.survophthal.2015.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Prokosch, V., Brockhaus, K., Anders, F., Liu, H., Mercieca, K., Gericke, A., et al. (2019). Elevated intraocular pressure induces neuron-specific beta-III-tubulin expression in non-neuronal vascular cells. Acta Ophthalmol. doi: 10.1111/aos.14333 [Epub ahead of print].

CrossRef Full Text | PubMed Abstract | Google Scholar

Puro, D. G. (2007). Physiology and pathobiology of the pericyte-containing retinal microvasculature: new developments. Microcirculation 14, 1–10. doi: 10.1080/10739680601072099

PubMed Abstract | CrossRef Full Text | Google Scholar

Quigley, H. A. (1977). Gap junctions between optic nerve head astrocytes. Invest. Ophthalmol. Vis. Sci. 16, 582–585.

PubMed Abstract | Google Scholar

Quigley, H. A., Hohman, R. M., Addicks, E. M., and Green, W. R. (1984). Blood vessels of the glaucomatous optic disc in experimental primate and human eyes. Invest. Ophthalmol. Vis. Sci. 25, 918–931.

PubMed Abstract | Google Scholar

Rader, J., Feuer, W. J., and Anderson, D. R. (1994). Peripapillary vasoconstriction in the glaucomas and the anterior ischemic optic neuropathies. Am. J. Ophthalmol. 117, 72–80. doi: 10.1016/s0002-9394(14)73017-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Rankin, S. J., and Drance, S. M. (1996). Peripapillary focal retinal arteriolar narrowing in open angle glaucoma. J. Glaucoma 5, 22–28.

PubMed Abstract | Google Scholar

Rash, J. E., Yasumura, T., Dudek, F. E., and Nagy, J. I. (2001). Cell-specific expression of connexins and evidence of restricted gap junctional coupling between glial cells and between neurons. J. Neurosci. 21, 1983–2000. doi: 10.1523/jneurosci.21-06-01983.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Resch, H., Garhofer, G., Fuchsjager-Mayrl, G., Hommer, A., and Schmetterer, L. (2009a). Endothelial dysfunction in glaucoma. Acta Ophthalmol. 87, 4–12. doi: 10.1111/j.1755-3768.2007.01167.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Resch, H., Karl, K., Weigert, G., Wolzt, M., Hommer, A., Schmetterer, L., et al. (2009b). Effect of dual endothelin receptor blockade on ocular blood flow in patients with glaucoma and healthy subjects. Invest. Ophthalmol. Vis. Sci. 50, 358–363. doi: 10.1167/iovs.08-2460

PubMed Abstract | CrossRef Full Text | Google Scholar

Riva, C. E., Grunwald, J. E., and Petrig, B. L. (1986). Autoregulation of human retinal blood flow. An investigation with laser Doppler velocimetry. Invest. Ophthalmol. Vis. Sci. 27, 1706–1712.

PubMed Abstract | Google Scholar

Riva, C. E., Hero, M., Titze, P., and Petrig, B. (1997). Autoregulation of human optic nerve head blood flow in response to acute changes in ocular perfusion pressure. Graefes Arch. Clin. Exp. Ophthalmol. 235, 618–626. doi: 10.1007/bf00946937

PubMed Abstract | CrossRef Full Text | Google Scholar

Rose, C. R., and Ransom, B. R. (1997). Gap junctions equalize intracellular Na+ concentration in astrocytes. Glia 20, 299–307. doi: 10.1002/(sici)1098-1136(199708)20:4<299::aid-glia3>3.0.co;2-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Roy, C. S., and Sherrington, C. S. (1890). On the Regulation of the Blood-supply of the Brain. J. Physiol. 11, 85–158.

Google Scholar

Sakagami, K., Kawamura, H., Wu, D. M., and Puro, D. G. (2001). Nitric oxide/cGMP-induced inhibition of calcium and chloride currents in retinal pericytes. Microvasc. Res. 62, 196–203. doi: 10.1006/mvre.2001.2343

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakagami, K., Wu, D. M., and Puro, D. G. (1999). Physiology of rat retinal pericytes: modulation of ion channel activity by serum-derived molecules. J. Physiol. 521(Pt 3), 637–650. doi: 10.1111/j.1469-7793.1999.00637.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmidl, D., Garhofer, G., and Schmetterer, L. (2011). The complex interaction between ocular perfusion pressure and ocular blood flow - relevance for glaucoma. Exp. Eye Res. 93, 141–155. doi: 10.1016/j.exer.2010.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmidt, K. G., Bergert, H., and Funk, R. H. (2008). Neurodegenerative diseases of the retina and potential for protection and recovery. Curr. Neuropharmacol. 6, 164–178. doi: 10.2174/157015908784533851

PubMed Abstract | CrossRef Full Text | Google Scholar

Scripsema, N. K., Garcia, P. M., Bavier, R. D., Chui, T. Y., Krawitz, B. D., Mo, S., et al. (2016). Optical coherence tomography angiography analysis of perfused peripapillary capillaries in primary open-angle glaucoma and normal-tension glaucoma. Invest. Ophthalmol. Vis. Sci. 57, 611–620. doi: 10.1167/iovs.15-18945

PubMed Abstract | CrossRef Full Text | Google Scholar

Shibata, M., Oku, H., Sugiyama, T., Kobayashi, T., Tsujimoto, M., Okuno, T., et al. (2011). Disruption of gap junctions may be involved in impairment of autoregulation in optic nerve head blood flow of diabetic rabbits. Invest. Ophthalmol. Vis. Sci. 52, 2153–2159. doi: 10.1167/iovs.10-6605

PubMed Abstract | CrossRef Full Text | Google Scholar

Shoshani, Y. Z., Harris, A., Shoja, M. M., Rusia, D., Siesky, B., Arieli, Y., et al. (2012). Endothelin and its suspected role in the pathogenesis and possible treatment of glaucoma. Curr Eye Res 37, 1–11. doi: 10.3109/02713683.2011.622849

PubMed Abstract | CrossRef Full Text | Google Scholar

Sigal, I. A., and Ethier, C. R. (2009). Biomechanics of the optic nerve head. Exp. Eye Res. 88, 799–807. doi: 10.1016/j.exer.2009.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Smedowski, A., Akhtar, S., Liu, X., Pietrucha-Dutczak, M., Podracka, L., Toropainen, E., et al. (2020). Electrical synapses interconnecting axons revealed in the optic nerve head – a novel model of gap junctions’ involvement in optic nerve function. Acta Ophthalmol. doi: 10.1111/aos.14272 [Epub ahead of print].

CrossRef Full Text | PubMed Abstract | Google Scholar

Sohl, G., Maxeiner, S., and Willecke, K. (2005). Expression and functions of neuronal gap junctions. Nat. Rev. Neurosci. 6, 191–200. doi: 10.1038/nrn1627

PubMed Abstract | CrossRef Full Text | Google Scholar

Sohl, G., and Willecke, K. (2003). An update on connexin genes and their nomenclature in mouse and man. Cell Commun. Adhes. 10, 173–180. doi: 10.1080/714040423

PubMed Abstract | CrossRef Full Text | Google Scholar

Spray, D. C., Hanstein, R., Lopez-Quintero, S. V., Stout, R. F. Jr., Suadicani, S. O., and Thi, M. M. (2013). Gap junctions and Bystander effects: good samaritans and executioners. Wiley Interdiscip. Rev. Membr. Transp. Signal. 2, 1–15. doi: 10.1002/wmts.72

PubMed Abstract | CrossRef Full Text | Google Scholar

Stokely, M. E., Brady, S. T., and Yorio, T. (2002). Effects of endothelin-1 on components of anterograde axonal transport in optic nerve. Invest. Ophthalmol. Vis. Sci. 43, 3223–3230.

PubMed Abstract | Google Scholar

Stumpff, F., Strauss, O., Boxberger, M., and Wiederholt, M. (1997). Characterization of maxi-K-channels in bovine trabecular meshwork and their activation by cyclic guanosine monophosphate. Invest. Ophthalmol. Vis. Sci. 38, 1883–1892.

PubMed Abstract | Google Scholar

Sugiyama, T., Moriya, S., Oku, H., and Azuma, I. (1995). Association of endothelin-1 with normal tension glaucoma: clinical and fundamental studies. Surv. Ophthalmol. 39(Suppl. 1), S49–S56.

PubMed Abstract | Google Scholar

Suh, M. H., Zangwill, L. M., Manalastas, P. I., Belghith, A., Yarmohammadi, A., Medeiros, F. A., et al. (2016). Deep retinal layer microvasculature dropout detected by the optical coherence tomography angiography in glaucoma. Ophthalmology 123, 2509–2518. doi: 10.1016/j.ophtha.2016.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Sweeney, M. D., Ayyadurai, S., and Zlokovic, B. V. (2016). Pericytes of the neurovascular unit: key functions and signaling pathways. Nat. Neurosci. 19, 771–783. doi: 10.1038/nn.4288

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamm, E. R., Ethier, C. R., Lasker, I. I. O. A., and Glaucomatous Neurodegeneration, P. (2017). Biological aspects of axonal damage in glaucoma: a brief review. Exp. Eye Res. 157, 5–12. doi: 10.1016/j.exer.2017.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Taniguchi, T., Shimazawa, M., Sasaoka, M., Shimazaki, A., and Hara, H. (2006). Endothelin-1 impairs retrograde axonal transport and leads to axonal injury in rat optic nerve. Curr. Neurovasc. Res. 3, 81–88. doi: 10.2174/156720206776875867

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, R. J., Zhou, N., and Macvicar, B. A. (2006). Ischemia opens neuronal gap junction hemichannels. Science 312, 924–927. doi: 10.1126/science.1126241

PubMed Abstract | CrossRef Full Text | Google Scholar

Tielsch, J. M., Katz, J., Sommer, A., Quigley, H. A., and Javitt, J. C. (1995). Hypertension, perfusion pressure, and primary open-angle glaucoma. A population-based assessment. Arch. Ophthalmol. 113, 216–221.

PubMed Abstract | Google Scholar

Tien, T., Muto, T., Zhang, J., Sohn, E. H., Mullins, R. F., and Roy, S. (2016). Association of reduced Connexin 43 expression with retinal vascular lesions in human diabetic retinopathy. Exp. Eye Res. 146, 103–106. doi: 10.1016/j.exer.2015.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Trible, J. R., Costa, V. P., Sergott, R. C., Spaeth, G. L., Smith, M., Wilson, R. P., et al. (1993). The influence of primary open-angle glaucoma upon the retrobulbar circulation: baseline, postoperative and reproducibility analysis. Trans. Am. Ophthalmol. Soc. 91, 245–261; discussion 261–265.

PubMed Abstract | Google Scholar

Trivli, A., Koliarakis, I., Terzidou, C., Goulielmos, G. N., Siganos, C. S., Spandidos, D. A., et al. (2019). Normal-tension glaucoma: pathogenesis and genetics. Exp. Ther. Med. 17, 563–574. doi: 10.3892/etm.2018.7011

PubMed Abstract | CrossRef Full Text | Google Scholar

Trost, A., Lange, S., Schroedl, F., Bruckner, D., Motloch, K. A., Bogner, B., et al. (2016). Brain and retinal pericytes: origin, function and role. Front. Cell Neurosci. 10:20. doi: 10.3389/fncel.2016.00020

PubMed Abstract | CrossRef Full Text | Google Scholar

Varela, H. J., and Hernandez, M. R. (1997). Astrocyte responses in human optic nerve head with primary open-angle glaucoma. J. Glaucoma 6, 303–313.

PubMed Abstract | Google Scholar

Vaucher, E., Borredon, J., Bonvento, G., Seylaz, J., and Lacombe, P. (1997). Autoradiographic evidence for flow-metabolism uncoupling during stimulation of the nucleus basalis of Meynert in the conscious rat. J. Cereb. Blood Flow Metab. 17, 686–694. doi: 10.1097/00004647-199706000-00010

PubMed Abstract | CrossRef Full Text | Google Scholar

Venkataraman, S. T., Flanagan, J. G., and Hudson, C. (2010). Vascular reactivity of optic nerve head and retinal blood vessels in glaucoma–a review. Microcirculation 17, 568–581. doi: 10.1111/j.1549-8719.2010.00045.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wareham, L. K., Dordea, A. C., Schleifer, G., Yao, V., Batten, A., Mertz, J., et al. (2018). Increased bioavailability of cyclic guanylate monophosphate prevents retinal ganglion cell degeneration. Neurobiol. Dis. 121, 65–75. doi: 10.1016/j.nbd.2018.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Warn-Cramer, B. J., Cottrell, G. T., Burt, J. M., and Lau, A. F. (1998). Regulation of connexin-43 gap junctional intercellular communication by mitogen-activated protein kinase. J. Biol. Chem. 273, 9188–9196. doi: 10.1074/jbc.273.15.9188

PubMed Abstract | CrossRef Full Text | Google Scholar

Weinreb, R. N., Aung, T., and Medeiros, F. A. (2014). The pathophysiology and treatment of glaucoma: a review. JAMA 311, 1901–1911. doi: 10.1001/jama.2014.3192

PubMed Abstract | CrossRef Full Text | Google Scholar

WHO (2020). Blindness and Vision Impairment Prevention: Priority Eye Diseases: Glaucoma. Geneva: World Health Organization.

Google Scholar

Winkler, E. A., Bell, R. D., and Zlokovic, B. V. (2011). Central nervous system pericytes in health and disease. Nat. Neurosci. 14, 1398–1405. doi: 10.1038/nn.2946

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, T. Y. (2004). Is retinal photography useful in the measurement of stroke risk? Lancet Neurol. 3, 179–183. doi: 10.1016/s1474-4422(04)00682-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong-Riley, M. T. (2010). Energy metabolism of the visual system. Eye Brain 2, 99–116.

Google Scholar

Wostyn, P., De Groot, V., van Dam, D., Audenaert, K., Killer, H. E., and De Deyn, P. P. (2017). The glymphatic hypothesis of glaucoma: a unifying concept incorporating vascular, biomechanical, and biochemical aspects of the disease. Biomed. Res. Int. 2017:5123148. doi: 10.1155/2017/5123148

PubMed Abstract | CrossRef Full Text | Google Scholar

Wright, C. S., Becker, D. L., Lin, J. S., Warner, A. E., and Hardy, K. (2001). Stage-specific and differential expression of gap junctions in the mouse ovary: connexin-specific roles in follicular regulation. Reproduction 121, 77–88. doi: 10.1530/rep.0.1210077

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, D. M., Kawamura, H., Sakagami, K., Kobayashi, M., and Puro, D. G. (2003). Cholinergic regulation of pericyte-containing retinal microvessels. Am. J. Physiol. Heart Circ. Physiol. 284, H2083–H2090.

PubMed Abstract | Google Scholar

Yamazaki, Y., and Drance, S. M. (1997). The relationship between progression of visual field defects and retrobulbar circulation in patients with glaucoma. Am. J. Ophthalmol. 124, 287–295. doi: 10.1016/s0002-9394(14)70820-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, D. B., Coloma, F. M., Metheetrairut, A., Trope, G. E., Heathcote, J. G., and Ethier, C. R. (1994). Deformation of the lamina cribrosa by elevated intraocular pressure. Br. J. Ophthalmol. 78, 643–648. doi: 10.1136/bjo.78.8.643

PubMed Abstract | CrossRef Full Text | Google Scholar

Yarmohammadi, A., Zangwill, L. M., Diniz-Filho, A., Suh, M. H., Manalastas, P. I., Fatehee, N., et al. (2016a). Optical coherence tomography angiography vessel density in healthy, glaucoma suspect, and glaucoma eyes. Invest. Ophthalmol. Vis. Sci. 57, 451–459.

Google Scholar

Yarmohammadi, A., Zangwill, L. M., Diniz-Filho, A., Suh, M. H., Yousefi, S., Saunders, L. J., et al. (2016b). Relationship between optical coherence tomography angiography vessel density and severity of visual field loss in glaucoma. Ophthalmology 123, 2498–2508. doi: 10.1016/j.ophtha.2016.08.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Yip, V. C. H., Wong, H. T., Yong, V. K. Y., Lim, B. A., Hee, O. K., Cheng, J., et al. (2019). Response: optical coherence tomography angiography of optic disc and macula vessel density in glaucoma and healthy eyes. J. Glaucoma 28, e132–e133. doi: 10.1097/ijg.0000000000001289

PubMed Abstract | CrossRef Full Text | Google Scholar

Yorio, T., Krishnamoorthy, R., and Prasanna, G. (2002). Endothelin: is it a contributor to glaucoma pathophysiology? J. Glaucoma 11, 259–270. doi: 10.1097/00061198-200206000-00016

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: neurodegeneration, glaucoma, neurovascular unit, vasculature, neurovascular coupling, gap junctions

Citation: Wareham LK and Calkins DJ (2020) The Neurovascular Unit in Glaucomatous Neurodegeneration. Front. Cell Dev. Biol. 8:452. doi: 10.3389/fcell.2020.00452

Received: 15 April 2020; Accepted: 15 May 2020;
Published: 16 June 2020.

Edited by:

Glenn Prazere Lobo, Medical University of South Carolina, United States

Reviewed by:

Denise M. Inman, The University of North Texas Health Science Center, United States
Altaf A. Kondkar, King Saud University, Saudi Arabia

Copyright © 2020 Wareham and Calkins. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: David J. Calkins, ZGF2aWQuai5jYWxraW5zQHZ1bWMub3Jn

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